# Set X Axis Values in Matplotlib

We can set the X-axis values using the `matplotlib.pyplot.xticks()` method.

``````import matplotlib.pyplot as plt

x=[1,2,3,4,5,7]
y=[2,1,6,4,8,5]

plt.plot(x,y,marker="o")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Figure with default X labels")
plt.show()
``````

Output:

It generates a figure with default labels for both the X-axis and Y-axis. By default, the X-axis and Y-axis ticks are assigned as equally spaced values ranging from minimum to maximum value of the respective axis. To change the default values of ticks for X-axis, we use the `matplotlib.pyplot.xticks()` method.

## Set X Axis Values Using `matplotlib.pyplot.xticks()` Method

``````import matplotlib.pyplot as plt

x=[1,2,3,4,5,7]
y=[2,1,6,4,8,5]

values = ['A', 'B', 'C', 'D','E','F']

plt.plot(x,y,marker="o")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Set X labels in Matplotlib Plot")
plt.xticks(x,values)
plt.show()
``````

Output:

It sets the values of the X-axis ticks to the values in the list `values`. Each element in the `values` will serve as an X-axis tick for the corresponding element in the list `x`.

The ticks will also be spaced as per the spacing of elements used for plotting.

``````import matplotlib.pyplot as plt

x=[0.01,0.1,1,10,100]
y=[2,1,6,4,8]

values = ['A', 'B', 'C', 'D','E','F']

plt.plot(x,y,marker="o")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Set X labels in Matplotlib Plot")
plt.xticks(x,values)
plt.show()
``````

Output:

If the values plotted along the X-axis are not equally spaced, then the ticks along the X-axis will also be unequally spaced, and we might not get a clear figure, as shown in the output figure above.

We can plot the data using a list of equally spaced arbitrary values along the X-axis and then assign the actual values as ticks to the X-axis.

``````import matplotlib.pyplot as plt

x=[0.01,0.1,1,10,100]
y=[2,1,6,4,8]
values = range(len(x))

plt.plot(values,y,marker="o")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Set X labels in Matplotlib Plot")
plt.xticks(values,x)
plt.show()
``````

Output:

It sets the equally placed X-axis ticks to the plot with unequally spaced X-axis values.

## Related Article - Matplotlib Axes

• Rotate X-Axis Tick Label Text in Matplotlib
• Set Tick Labels Font Size in Matplotlib
• Add a Y-Axis Label to the Secondary Y-Axis in Matplotlib
• Plot Logarithmic Axes in Matplotlib
• Make a Square Plot With Equal Axes in Matplotlib
• Set Limits for Axes in Matplotlib